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The revised paper, “Considerations for Remanufacturing of Medical Imaging Devices,” is updated from a version released this past February and, again, requests that the FDA clarify the distinction between servicing and remanufacturing.

“This review is the first to systematically compare the diagnostic accuracy of all deep learning models against health-care professionals using medical imaging published to date,” wrote authors of a new study published in The Lancet Digital Health.

The researchers believe utilizing AI to read cardiac MRI scans could save 54 clinician-days per year at each UK health center.

More than 350 teams submitted results as part of the SIIM-ACR Pneumothorax Detection and Localization Challenge and were required to create algorithms to prioritize patients for quick review and treatment.

A new machine learning algorithm can determine which stroke patients would benefit from an endovascular thrombectomy based off of CT angiography (CTA) scans, according to new research out of the University of Texas Health Science Center at Houston.

Radiologists with lifetime certification are more likely to forgo participation in American Board of Radiology (ABR) Maintenance of Certification (MOC) programs than those with time-limited certification, according to a new study published in the American Journal of Roentgenology.

MRI can help diagnose minor stroke and transient ischemic attacks (TIA) in patients who experience symptoms that aren’t always associated with stroke, according to a multi-year study published Sept. 23 in JAMA Neurology.

The American College of Radiology suggests CMS delay the start of its new radiation oncology (RO) model to allow radiation oncologists adequate time to prepare for participation in the new model, according to a Sept. 16 comment letter.

The Reason for exam Imaging Reporting and Data System (RI-RADS) is a new standardized system to grade imaging orders and may improve patient care as a whole, according to a new analysis published in the European Journal of Radiology.

The Fast-Track Small Business Innovation Research Grant is contingent on SubtleGAD's ability to produce certain deliverables.

Convolutional neural networks (CNNs) can accurately identify vertebral fractures (VFs) on x-rays, according to a Sept. 17 study published in Radiology. The method may improve radiologists’ diagnostic ability.

Former Dartmouth-Hitchcock Medical Center radiologist Mark F. Guilfoyle, MD, reached a settlement with the New Hampshire state Board of Medicine following his failure to detect evidence of breast cancer in multiple patients, according to the New Hampshire Union Leader.